[
Abrate, G., Fraquelli, G., & Viglia, G. (2012). Dynamic pricing strategies: Evidence from European hotels. International Journal of Hospitality Management, 31(1), 160–168.
]Search in Google Scholar
[
Ali, F., Kwak, K. S., & Kim, Y. G. (2016). Opinion mining based on fuzzy domain ontology and Support Vector Machine: A proposal to automate online review classification. Applied Soft Computing, 47, 235–250.
]Search in Google Scholar
[
Baek, J., & Michael, C. (2017). The power of design: How does design affect consumers’ online hotel booking? International Journal of Hospitality Management, 65, 1–10.
]Search in Google Scholar
[
Bianco, A. (2018). Active Labor Market Policies for Digital Economy: Skills Development and Workforce Preparation [Working paper No. 0030]. ASTRIL (Associazione Studi e Ricerche Interdisciplinari sul Lavoro).
]Search in Google Scholar
[
Cázares-Garrido, I. V. (2016). Complexity in the adoption of technology in tourism services. Journal of Intercultural Management, 8, 3.
]Search in Google Scholar
[
Cheung, C., & Law, R. (2007). Have the perceptions of the successful factors for travel websites changed over time? The case of consumers in Hong Kong. Journal of Hospitality & Tourism Research, 33(3), 438–446.
]Search in Google Scholar
[
Choi, C., & Mattila, A. S. (2017). The effects of internal and external reference prices on travelers’ price evaluations. Journal of Travel Research, 57(8), 1068–1077.
]Search in Google Scholar
[
Dana, J. D., Jr. (1998). Advance-purchase discounts and price discrimination in competitive markets. Journal of Political Economy, 106(1), 395–422.
]Search in Google Scholar
[
Guizzardi, A., Ponsa, F. M. E., & Ranieri, E. (2019). Competition patterns, spatial and advance booking effects in the accommodation market online. Tourism Management, 71, 476–489.
]Search in Google Scholar
[
Haws, K. L., & Bearden, W. O. (2006). Dynamic pricing and consumer fairness perceptions. Journal of Consumer Research, 33(3), 304–311.
]Search in Google Scholar
[
Jang, Y., Chen, C., & Miao, L. (2019). Last-minute hotel-booking behavior: The impact of time on decision-making. Journal of Hospitality and Tourism Management, 38, 49–57.
]Search in Google Scholar
[
Janiak, M., & Kozłowska-Adamczak, M. (2018). Evaluation of the most popular accommodation booking. Tourism: The Journal of University of Lodz, 28, 94–100.
]Search in Google Scholar
[
Jansson, A. (2018). Rethinking post-tourism in the age of social media. Annals of Tourism Research, 69, 101–110.
]Search in Google Scholar
[
Jasrotia, S. S., Mishra, H. G., & Koul, S. (2019). Brick or click? Channel choice disruptions in the travel industry. Asia-Pacific Journal of Management Research and Innovation, 1–11.
]Search in Google Scholar
[
Karakaya, F., & Yannopoulos, P. (2011). Impact of market entrant characteristics on incumbent reactions to market entry. Journal of Strategic Marketing, 19(2), 171–185.
]Search in Google Scholar
[
Kardaras, D. K., Karakostas, B., & Mamakou, X. J. (2013). Content presentation personalization and media adaptation in tourism websites using Fuzzy Delphi Method and Fuzzy Cognitive Maps. Expert Systems with Applications, 40(6), 2331–2342.
]Search in Google Scholar
[
Koide, T., & Ishii, H. (2005). The hotel yield management with two types of room prices, overbooking, and cancellations. International Journal of Production Economics, 93, 417–428.
]Search in Google Scholar
[
Korfiatis, N., & Poulos, M. (2013). Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews. Expert Systems with Applications, 40(14), 5507–5515.
]Search in Google Scholar
[
Lee, M. (2018). Modeling and forecasting hotel room demand based on advance booking information. Tourism Management, 66, 62–71.
]Search in Google Scholar
[
Li, L., Peng, M., Jiang, N., & Law, R. (2017). An empirical study on the influence of economy hotel website quality on online booking intentions. International Journal of Hospitality Management, 63, 1–10.
]Search in Google Scholar
[
Lu, Q. S., Yang, Y., & Yuksel, U. (2015). The impact of a new online channel: An empirical study. Annals of Tourism Research, 54, 136–155.
]Search in Google Scholar
[
Mazzone, D. (2014). Digital or death. Sandbox Consulting Inc.
]Search in Google Scholar
[
Murphy, H. C., Chen, M., & Cossutta, M. (2016). An investigation of multiple devices and information sources used in the hotel booking process. Tourism Management, 52, 44–51.
]Search in Google Scholar
[
Ozturk, A. B., Nusair, K., Okumus, K. F., & Hua, N. (2016). The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment. International Journal of Hospitality Management, 57, 106–115.
]Search in Google Scholar
[
Raguseo, E., Neirotti, P., & Paolucci, E. (2017). How small hotels can drive value their way in infomediation: The case of Italian hotels vs. OTAs and TripAdvisor. Information & Management, 54(6), 745–756.
]Search in Google Scholar
[
Sahut, J.-M., Hikkerova, L., & Pupion, P.-C. (2016). Perceived unfairness of prices resulting from yield management practices in hotels. Journal of Business Research, 69(11), 4901–4906.
]Search in Google Scholar
[
Saito, T., Takahashi, A., Koide, N., & Ichifuji, Y. (2019). Application of online booking data to hotel revenue management. International Journal of Information Management, 46, 37–53.
]Search in Google Scholar
[
Sakulsureeyadej, A. (2011). How technology is changing global tourism. In World Tourism Organization (UNWTO) Affiliate Members AM-Reports – Technology in Tourism (Vol. 1). World Tourism Organization.
]Search in Google Scholar
[
Schoenherr, S. E. (2004). The Digital Revolution. Retrieved from https://web.archive.org/web/20081007132355/ http://history.sandiego.edu/gen/recording/digital.html. Accessed date: 2 April 2020.
]Search in Google Scholar
[
Sezgin, E. (2016). e-Consumers in the Era of New Tourism. Springer Singapore.
]Search in Google Scholar
[
Shuai, J. J., & Wu, W. W. (2011). Evaluating the influence of E-marketing on hotel performance by DEA and grey entropy. Expert Systems with Applications, 38(7), 8763–8769.
]Search in Google Scholar
[
Sierag, D. D., Koole, G. M., van der Mei, R. D., van der Rest, J. I., & Zwart, B. (2015). Revenue management under customer choice behavior with cancellations and overbooking. European Journal of Operational Research, 246(1), 170–185.
]Search in Google Scholar
[
Su, X. (2007). Intertemporal pricing with strategic customer behavior. Management Science, 53(5), 726–741.
]Search in Google Scholar
[
Toh, R. S., DeKay, C. F., & Raven, P. (2011). Travel planning: Searching for and booking hotels on the internet. Cornell Hospitality Quarterly, 52(4), 388–398.
]Search in Google Scholar
[
Tomičić, M. F., Tomičić-Pupek, K., & Pihir, I. (2020). Understanding digital transformation initiatives: Case studies analysis. Business Systems Research, 11(1), 126.
]Search in Google Scholar
[
World Travel & Tourism Council. (2017). Travel & Tourism Global Economic Impact & Issues, 2017. Retrieved from https://www.wttc.org/-/media/files/reports/economic-impact-research/2017-documents/global-economic-impact-and-issues-2017.pdf. Accessed date: 20 April 2020.
]Search in Google Scholar
[
Wu, J., & Law, R. (2018). Analyzing behavioral differences between e- and m-bookers in hotel booking. International Journal of Hospitality Management, 83, 247–256.
]Search in Google Scholar
[
Xiang, Z., Magnini, V. P., & Fesenmaier, D. R. (2015). Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet. Journal of Retailing and Consumer Services, 22, 244–249.
]Search in Google Scholar
[
Xu, X., Wang, X., Li, Y., & Haghighi, M. (2017). Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors. International Journal of Information Management, 37(6), 673–683.
]Search in Google Scholar
[
Zhang, Z., Liang, S., Li, H., & Zhang, Z. (2018). Booking now or later: Do online peer reviews matter? International Journal of Hospitality Management, 77, 147–158.
]Search in Google Scholar
